Query-Document Dense Vectors for LLM Relevance Judgment Bias Analysis.

Samaneh Mohtadi|Gianluca Demartini


Anthology ID:DBLP:conf/ecir/MohtadiD26
Volume:Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part II
Year:2026
Venue:European Conference on Advances in Information Retrieval (ECIR)
Publisher:Springer
Pages:88-103
URL:https://doi.org/10.1007/978-3-032-21300-6_6
DOI:https://doi.org/10.1007/978-3-032-21300-6_6
DBLP:conf/ecir/MohtadiD26
BibTeX:
@inproceedings{mohtadi-2026-querydocument, author = {Samaneh Mohtadi and Gianluca Demartini}, editor = {Ricardo Campos and Adam Jatowt and Yanyan Lan and Mohammad Aliannejadi and Christine Bauer and Sean MacAvaney and Avishek Anand and Zhaochun Ren and Suzan Verberne and Nan Bai and Masoud Mansoury}, title = {{Query-Document Dense Vectors for LLM Relevance Judgment Bias Analysis}}, booktitle = {{Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part II}}, series = {Lecture Notes in Computer Science}, volume = {16484}, pages = {88--103}, publisher = {Springer}, year = {2026}, url = {https://doi.org/10.1007/978-3-032-21300-6_6}, doi = {https://doi.org/10.1007/978-3-032-21300-6_6} }